Supervised Classifier Combination through Generalized Additive Multi-model. - Claudio Conversano; Roberta Siciliano; Francesco Mola (Multiple Classifier Systems, 2000)

Partitioning Algorithms and Combined Model Integration for Data Mining. - Claudio Conversano; Francesco Mola; Roberta Siciliano (Comput. Stat., 2001)

Canonical Variates for Recursive Partitioning in Data Mining. - Carmela Cappelli; Claudio Conversano (COMPSTAT, 2002)

Missing Data Incremental Imputation through Tree Based Methods. - Claudio Conversano; Carmela Cappelli (COMPSTAT, 2002)

Bagged Mixtures of Classifiers using Model Scoring Criteria. - Claudio Conversano (Pattern Anal. Appl., 2002)

Incremental Tree-Based Missing Data Imputation with Lexicographic Ordering. - Claudio Conversano; Roberta Siciliano (J. Classif., 2009)

Statistical Data Editing. - Claudio Conversano; Roberta Siciliano (Encyclopedia of Data Warehousing and Mining, 2009)

Decision Tree Induction. - Roberta Siciliano; Claudio Conversano (Encyclopedia of Data Warehousing and Mining, 2009)

Interactive visualization in multiclass learning: integrating the SASSC algorithm with KLIMT. - Claudio Conversano (Comput. Stat., 2011)

Assessing the Reliability of a Multi-Class Classifier. - Luca Frigau; Claudio Conversano; Francesco Mola (ECDA, 2014)

Investigating the Relationship Between Tweeting Style and Popularity: The Case of US Presidential Election 2016. - Farideh Tavazoee; Claudio Conversano; Francesco Mola (KESW, 2017)

Modeling Threshold Interaction Effects Through the Logistic Classification Trunk. - Claudio Conversano; Elise Dusseldorp (J. Classif., 2017)

Random effects clustering in multilevel modeling: choosing a proper partition. - Claudio Conversano; Massimo Cannas; Francesco Mola; Emiliano Sironi (Adv. Data Anal. Classif., 2019)

Practical Implementation of the Kelly Criterion: Optimal Growth Rate, Number of Trades, and Rebalancing Frequency for Equity Portfolios. - Andrea Carta; Claudio Conversano (Frontiers Appl. Math. Stat., 2020)

Recurrent random forest for the assessment of popularity in social media. - Farideh Tavazoee; Claudio Conversano; Francesco Mola (Knowl. Inf. Syst., 2020)

On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning. - Marco Ortu; Nicola Uras; Claudio Conversano; Giuseppe Destefanis; Silvia Bartolucci (CoRR, 2021)

Impact of the COVID-19 outbreak on Italy's country reputation and stock market performance: a sentiment analysis approach. - Gianpaolo Zammarchi; Francesco Mola; Claudio Conversano (CoRR, 2021)

Investigating Shared Genetic Bases between Psychiatric Disorders, Cardiometabolic and Sleep Traits Using K-Means Clustering and Local Genetic Correlation Analysis. - Gianpaolo Zammarchi; Claudio Conversano; Claudia Pisanu (Algorithms, 2022)

On technical trading and social media indicators for cryptocurrency price classification through deep learning. - Marco Ortu; Nicola Uras; Claudio Conversano; Silvia Bartolucci; Giuseppe Destefanis (Expert Syst. Appl., 2022)

Threshold-based Naïve Bayes classifier. - Maurizio Romano; Giulia Contu; Francesco Mola; Claudio Conversano (Adv. Data Anal. Classif., 2024)

Automatic Topic Title Assignment with Word Embedding. - Gianpaolo Zammarchi; Maurizio Romano; Claudio Conversano (J. Classif., 2024)

Overlapping coefficient in network-based semi-supervised clustering. - Claudio Conversano; Luca Frigau; Giulia Contu (Comput. Stat., 2024)